Answer Engine Optimisation: how to get cited by ChatGPT, Gemini and AI Overviews

In short. Answer Engine Optimisation, or AEO, is the practice of getting your brand quoted inside AI answers from ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews. It works by making your expertise easy for a model to find, trust and repeat: clear entities, structured data, credible third party coverage and content written in short quotable passages. The measure of success is share of model, the proportion of relevant AI answers that cite or recommend you.

What answer engine optimisation is

An answer engine reads the web, decides what is true and returns one synthesised reply. There is often no list of links and no click. AEO is the work of shaping how those systems understand and represent your brand, so that when a buyer asks a question in your category, the model names you and gets the facts right.

It sits alongside classic search work. You still want to rank in Google, but ranking is no longer the finish line. The finish line is being the source the assistant chooses to quote.

Why AEO matters in 2026

A large share of buying research now starts inside an assistant. People ask ChatGPT to compare options, ask Perplexity for a shortlist and read a Google AI Overview before they ever reach a website. If the model does not know you, you are invisible at the exact moment of intent, no matter how well you rank.

Visibility in answers also compounds. Models tend to repeat brands that are already well described and widely cited, so early, accurate presence is a durable advantage.

How AEO differs from classic SEO

The two disciplines share foundations and diverge at the goal.

• The unit of success. SEO wins a ranked position and a click. AEO wins a mention or citation inside a single answer.
• What the machine wants. Search engines reward relevance and links. Answer engines reward clarity, verifiable facts and passages they can lift without ambiguity.
• How you write. SEO rewards depth on a page. AEO rewards self contained answers, one idea per paragraph, stated plainly enough to quote.
• The measure. SEO tracks rankings and traffic. AEO tracks share of model and AI referral visits.

The tactics that work

AEO is practical. These are the levers that move a brand from absent to cited.

Build a clear entity

Models reason about entities, not keywords. Give yours one consistent name, description and set of facts across your site, your About page, Wikipedia, Wikidata, Crunchbase and your social profiles. Consistency is what lets a model trust the picture.

Ship structured data

Mark up organisation, article, product, FAQ and review data with schema.org. Structured data removes ambiguity and gives an answer engine facts it can quote with confidence.

Earn credible third party coverage

Digital PR is now an AEO tactic. When respected publications describe you accurately, models learn from those sources and repeat them. Being written about well is one of the strongest citation signals there is.

Write content built to be quoted

Lead every page with a direct answer. Use plain sentences, short paragraphs and clear headings. Add a takeaways list and a FAQ, exactly like this page, so a model can find a clean passage and lift it whole.

Publish an llms.txt file

An llms.txt file at the root of your domain points AI systems to the pages you most want read and cited. It is a low cost signal that helps models prioritise your best, most quotable content.

How to measure share of model

You cannot improve what you do not measure. Share of model is the AEO equivalent of share of voice: across a set of real buying questions, how often does each assistant mention, cite or recommend you against your competitors.

• Define the questions a buyer actually asks in your category.
• Run them across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews on a schedule.
• Score presence, sentiment and whether the facts are correct.
• Track the trend against competitors, and pair it with referral traffic from AI assistants in your analytics.

This is the work we run inside search and AI visibility at GAMEPLAN., and it pairs naturally with ChatGPT Ads when you want paid presence in the same answers.

Key takeaways

• AEO gets your brand quoted inside AI answers, where ranking alone no longer wins.
• It differs from SEO in its goal: a citation in one answer, not a position in a list.
• The core tactics are clear entities, structured data, digital PR, quotable content and an llms.txt file.
• Measure share of model across the major assistants and track it against competitors.
• Accurate presence compounds, so the brands that start early hold the advantage.

FAQ

What is answer engine optimisation?

AEO is the practice of making your brand easy for AI answer engines such as ChatGPT, Gemini, Perplexity and Google AI Overviews to find, trust and quote. The goal is to be cited or recommended in the answer the user reads, rather than ranked in a list of links.

Is AEO different from SEO?

Yes. SEO optimises for a ranked list of links and a click. AEO optimises for a single synthesised answer with no click, and relies on clear entities, structured data, credible coverage and self contained passages a model can lift verbatim.

How do you measure AEO?

You measure share of model, the proportion of relevant AI answers that mention, cite or recommend your brand across the major assistants. Track it against competitors over time and pair it with AI referral traffic.

What is an llms.txt file?

An llms.txt file is a plain text file at the root of your domain that points AI systems to your most important, quotable pages. It is a lightweight way to signal which content you want models to read and cite.